Results 41 to 50 of about 204,072 (197)
Tutorial and critical analysis of phishing websites methods [PDF]
Computer Science Review, 2015 The Internet has become an essential component of our everyday social and financial activities. Internet is not important for individual users only but also for organizations, because organizations that offer online trading can achieve a competitive edge by serving worldwide clients.
Rami Mustafa A. Mohammad +2 more
openaire +2 more sources
“I Paid A Bribe”—Lessons and Insights From Crowdsourced Corruption Reporting in India
Regulation &Governance, EarlyView.ABSTRACT Preventing and reducing corruption has proven to be an enormous challenge. An important step in this process is to produce and use good metrics to identify where anti‐corruption resources would be most beneficial. Most measures of corruption, however, rely on surveys of perceptions or bribery incidence.
Ina Kubbe +2 more
wiley +1 more source
Detection of phishing websites based on the improved TrustRank algorithm
Dianxin kexue, 2018 Anti-phishing methods just generally detect phishing sites based on comparing the similarity of pages features,which could be anti-detected when attackers are clear about the extraction process of features.Therefore,a method based on web pages ...
Hao HAN, Bowen LIU, Guoyuan LIN
doaj +2 more sources
Model‐Based Cybersecurity: Automating Common Vulnerabilities Reporting
Systems Engineering, Volume 29, Issue 5, Page 936-948, September 2026.ABSTRACT The Common Vulnerabilities and Exposures (CVE) Program's mission is to identify, define, and catalog publicly disclosed cybersecurity vulnerabilities. A cybersecurity practitioner who suspects a software, hardware, or service vulnerability, can initiate a CVE‐ID Requesting process, as defined by MITRE.
Ahmad Jbara, Dov Dori
wiley +1 more source
Criminology, Volume 64, Issue 3, Page 698-733, August 2026.Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley +1 more source
Cutting-Edge Phishing Detection Using Novel Features and Hybrid Machine Learning Techniques [PDF]
Journal of Artificial Intelligence and System ModellingClassification Information Mining (DM) strategies are highly effective tools for identifying and detecting e-banking phishing websites. This study introduces a novel approach to address the challenges and complexities associated with predicting and ...
Jin Zhang
doaj +1 more source
Engineering Reports, Volume 8, Issue 7, July 2026.Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa +2 more
wiley +1 more source
Phishing – the threat of internet banking [PDF]
, 2013 The attractiveness of Internet banking, the dynamics and the integration with e-business is still growing. The current use of electronic banking is defined by cyberspace and abused in the form of cyber terrorism as well.
Krejčířová, Lívia, Dvořák, Jiří
core +1 more source
Phishing Website Detection Using Deep Learning Models
IEEE AccessThis research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ensemble learning, and deep learning algorithms.
Ume Zara +5 more
doaj +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source